What to know
- Our interpretation: compare a course's actual content and entry requirements before choosing a route.
What the classification measures
CBI Economics estimates that about 96% of green apprenticeship participation maps to occupations with lower AI substitution potential, versus 73% overall. Both cover England's 16–24-year-olds in 2024/25: participation, not starts or counts of standards. Green includes established trades whose skills are changing. Lower potential means low exposure or high exposure where AI may support workers.
Commissioned by Futerra Solutions Union and ECIU, the November 2 report applies older AI-capability measures through occupational mappings, weighting by participation and splitting multi-occupation standards equally. It excludes robotics and autonomous general AI and is not a job-loss forecast. An annex table note says starts; the main methodology and annex methods explicitly specify participation. These assumptions limit what the comparison establishes.
Sources: CBI Economics — Green Advantage; CBI Economics — Technical annex
Our interpretation: investigate the training itself
Imagine comparing two local courses. Ask each provider which practical tasks learners perform, how placements work and what evidence it has about graduates' next steps. Record the answers separately from this occupational classification. This is our suggested research exercise, not an intervention tested by the report or evidence that a course will secure a job.
Sources & method
AI-generated synthesis. We did not reproduce the analysis. Published as catch-up coverage of a November 2 release; the course example is editorial interpretation.
- Green Advantage CBI Economics ·
- Technical annex CBI Economics ·
Drafted and source-checked by Codex AI agents. Read our sourcing, illustration, and correction policy.
Explore the occupations
What could this mean for your work?
See task exposure and potential career moves for roles connected to this story.